Technical Project Manager - Data Engineering
@ Lenovo

Bangalore Urban, Karnataka, India
$150,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @lenovo.com
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Job Details

Overview

Lenovo, a global technology powerhouse with US$69 billion revenue, is seeking a Technical Project Manager - Data Engineering. Join the Lenovo Customer Experience team in Bangalore, India to lead a Data Insights enrichment project and manage a team of data engineers.

Key Responsibilities

  • Lead development of a Data lakehouse solution including requirements gathering, solution design, data modeling, ETL orchestration, and dashboard/report development.
  • Manage data ingestion from multiple sources, write and review complex queries, and optimize data storage.
  • Enable federated querying and analysis for BI and Data Science teams while overseeing timelines and mentoring team members.
  • Design and implement a cloud-native data warehouse and ETL framework to support CX analytics.
  • Provide technical leadership to a team of data engineers ensuring data quality, consistency, and performance optimization.

Position Requirements

Candidate must hold a Bachelor's/Master's in Computer Science, Mathematics, or Science; have 12+ years in IT software engineering and 8+ years in data engineering; expertise in SQL, ETL (especially Talend), Python programming, Databricks, and data warehouse platforms like Azure Synapse, Hive, Snowflake, SQL Server, or Redshift. Prior leadership experience in data engineering teams and exposure to Data Science/ML/Gen AI projects are essential.

Preferred Qualifications

Experience with Snowflake, Power BI and familiarity with Agile Scrum practices.

Key skills/competency

Data lakehouse, ETL orchestration, SQL, Python, Databricks, Cloud-native, Data warehouse, Talend, Data modeling, Project management.

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How to Get Hired at Lenovo

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data engineering projects.
  • Showcase leadership: Emphasize team management experience.
  • Match keywords: Include SQL, Python, ETL, and cloud skills.
  • Prepare for interviews: Research Lenovo's customer experience culture.

📝 Interview Preparation Advice

Technical Preparation

Review ETL tool best practices.
Practice SQL query optimization.
Study cloud-native data warehouse concepts.
Analyze data modeling and ingestion techniques.

Behavioral Questions

Describe a challenging team project.
Explain your approach to stakeholder management.
Share a conflict resolution experience.
Discuss how you mentor junior engineers.

Frequently Asked Questions